Infrastructure Specialist

Akaasa Technologies
Frisco, TX, United States
12 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours

Tech stack

Data Analysis Big Data Data Architecture Information Engineering Data Visualization Python (Programming Language) Machine Learning SQL Databases Data Processing Data Pipelines

Job description

  • Build and support solutions for processing and analyzing large datasets.
  • Develop data pipelines and data processing workflows to support analytics and reporting.
  • Create dashboards and visualizations that communicate trends, KPIs, and business insights.
  • Perform statistical analysis to identify patterns, trends, and anomalies.
  • Partner with data scientists, analysts, and technical teams to make data usable and reliable.
  • Support data-driven decision-making by translating complex data into understandable insights.

Big data engineers commonly build scalable pipelines and data architectures that support analytics and machine-learning workflows. Key Skills

  • Big Data Engineering
  • Dashboard Development / Data Visualization
  • Data Science
  • Statistical Analysis
  • Data processing and data pipelines
  • SQL and/or Python
  • Data analysis and reporting
  • Experience working with large or complex datasets

Requirements

A Senior Data Engineer / Analytics Engineer who combines strong data engineering skills with hands-on analytics, dashboard development, and statistical analysis.

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